The Director of Data Engineering will be responsible for overseeing the design, development, and maintenance of our data infrastructure. This role will lead a team of data engineers and platform administrators and collaborate with cross-functional teams to ensure the efficient and effective orchestration use of data across the organization. The ideal candidate will have a strong technical background, excellent leadership skills, and a passion for data-driven decision-making.
Primary Responsibilities:
Responsibilities include managing the Data Engineering team and all associated people, processes, and technology responsible for building new data capabilities and maturing our data platform. The Director will act as platform owner for our enterprise data lake and data platform. They will work closely with leaders and data architect to support and implement scalable and sustainable, data-driven solutions. The right person for the job will apply their knowledge of data strategies, modern data architectures, and data technologies to provide thought leadership and inform decisions solving real-world problems faced by our company.
Additional Key Responsibilities:
Leadership and Management:
- Provide input into data the data strategy and thought leadership on data engineering best practices.
- Develop and implement the data engineering strategy, aligning it with the data strategy and overall business objectives.
- Lead and manage the data engineering team, providing mentorship, guidance, and career development opportunities.
- Foster a collaborative and innovative team environment.
- Set clear goals and performance expectations for the team.
Data Engineering:
- Design, build, and maintain scalable and reliable data pipelines, ETL processes, and data orchestration.
- Design, build and maintain scalable and reliable data Lakehouse with harmonized data marts.
- Drive the adoption of best practices in data engineering, including coding standards, testing, and documentation.
- Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
Collaboration and Communication:
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions that support business goals.
- Manage relationships with external vendors and partners, ensuring the effective use of third-party tools and services.
- Partner with Data Management to clarify requirements, coordinate testing, and ensure data is properly governed.
- Present findings and recommendations to senior leadership and other stakeholders.
- Develop and maintain relationships with key stakeholders, acting as a trusted advisor and subject matter expert on data and analytics.
Technology and Tools:
- Stay current with industry trends and emerging technologies, evaluating their potential impact on the organization.
- Evaluate and implement new analytics tools and platforms as needed.
- Provides solutions that may set precedent or have significant impact.
- Ensure the efficient use of existing analytics tools and resources.
Project Management:
- Monitor and optimize the performance of data systems, identifying and addressing bottlenecks and inefficiencies.
- Develop and manage the data engineering budget, ensuring the efficient allocation of resources.
- Manage portfolio of engineering projects ensuring adherence to deadlines/commitments.
- Prioritize projects based on business impact and resource availability.
- Monitor project progress and address any issues that arise.
Qualifications:
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Bachelor's degree in a related field (e.g. Computer Science, Information Systems, Statistics, etc.)
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10+ years of experience in data engineering or a related field, with at least 5 years in a leadership role.
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Strong proficiency in programming languages such as Python, Java, or Scala.
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Extensive experience with data warehousing solutions (e.g., Databricks, Snowflake) and ETL tools (e.g., Fivetran, Apache Airflow, MuleSoft).
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Deep understanding of database systems, data modeling, and data architecture.
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Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
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Proven track record of successfully leading and scaling data engineering teams.
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Strong leadership skills, with the ability to manage and motivate a team of data professionals
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Experience working with cross-functional teams and leading projects from inception to deployment
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Excellent problem-solving skills and the ability to think strategically.
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Strong communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
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Experience with data governance, data privacy, and regulatory compliance is a plus.
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Presentation: must demonstrate clear, concise articulation of proposed actions, illustrating opportunity, alternatives, recommendation, and associated economics
Special Working Conditions:
Fast paced, multi-tasking environment.
Remote position with minimal travel required for quarterly meetings.
Important Notice:
This position description is intended to describe the level of work required of the person performing in the role and is not a contract. The essential responsibilities are outlined; other duties may be assigned as needs arise or as required to support the organization. All requirements may be modified to reasonably accommodate physically or mentally challenged colleagues.
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The Baldwin Group will not accept unsolicited resumes from any source other than directly from a candidate who applies on our career site. Any unsolicited resumes sent to The Baldwin Group, including unsolicited resumes sent via any source from an Agency, will not be considered and are not subject to any fees for any placement resulting from the receipt of an unsolicited resume.
